Popularity-Based Transcoding Workload Allocation for Improving Video Quality in Live Streaming Systems

초록

Transcoding is essential for live video streaming systems, but video streams in many channels may not be transcoded due to the processing capacity limitations of transcoding servers with multiple CPU nodes. To address this, we propose an algorithm that determines the transcodeable bitrate versions for each channel and allocates the transcoding tasks, by taking into account video quality, popularity, and workload balancing. Simulation results show that it can improve popularity-weighted video quality by up to 10.7% over other popularity-based alternatives.

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